Machine Learning Engineer II

Summary

Join Pinterest and build cutting-edge technology using deep learning and machine learning to personalize the platform. Partner with cross-functional teams to experiment with and improve ML models for various products. Leverage data-driven methods and the unique properties of Pinterest's data to enhance candidate retrieval. Work in a fast-paced environment with frequent experimentation and product launches. Stay current with industry trends in recommendation systems. This role offers telecommuting flexibility and a competitive salary.

Requirements

• Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and four (4) years of experience in the job offered or in any occupation in related field
• Python
• SQL
• PyTorch
• Scikit-learn
• Keras
• Tensorflow
• Hadoop
• Spark
• Large Scale Machine Learning System
• Data Processing Pipelines

Responsibilities

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Benefits

• Telecommuting is permitted
• Equity